Triple

T4146571
Position Surface form Disambiguated ID Type / Status
Subject As the World Turns E89796 entity
Predicate notableCastMember P7010 FINISHED
Object Martha Byrne
Martha Byrne is an American actress best known for her long-running, Emmy-winning role as Lily Walsh Snyder on the soap opera "As the World Turns."
E444396 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Martha Byrne | Statement: [As the World Turns, notableCastMember, Martha Byrne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Byrne
Context triple: [As the World Turns, notableCastMember, Martha Byrne]
  • A. Margaret Hogan
    Margaret Hogan was the wife of legendary Major League Baseball manager and team owner Connie Mack.
  • B. Elizabeth McLaughlin
    Elizabeth McLaughlin is an American actress known for her roles in television series such as the psychological drama "Hand of God."
  • C. Marie Burke
    Marie Burke was a British actress and singer active in the early to mid-20th century, known for her work on stage, film, and radio.
  • D. Margaret Kelly
    Margaret Kelly is an American artist and the first wife of actor and comedian Bill Murray, to whom she was married from 1981 to 1996.
  • E. Martha Kearney
    Martha Kearney is a British journalist and broadcaster best known as a prominent presenter on BBC radio and television, including flagship programmes such as Woman’s Hour and The World at One.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Martha Byrne
Triple: [As the World Turns, notableCastMember, Martha Byrne]
Generated description
Martha Byrne is an American actress best known for her long-running, Emmy-winning role as Lily Walsh Snyder on the soap opera "As the World Turns."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martha Byrne
Target entity description: Martha Byrne is an American actress best known for her long-running, Emmy-winning role as Lily Walsh Snyder on the soap opera "As the World Turns."
  • A. Margaret Hogan
    Margaret Hogan was the wife of legendary Major League Baseball manager and team owner Connie Mack.
  • B. Elizabeth McLaughlin
    Elizabeth McLaughlin is an American actress known for her roles in television series such as the psychological drama "Hand of God."
  • C. Marie Burke
    Marie Burke was a British actress and singer active in the early to mid-20th century, known for her work on stage, film, and radio.
  • D. Margaret Kelly
    Margaret Kelly is an American artist and the first wife of actor and comedian Bill Murray, to whom she was married from 1981 to 1996.
  • E. Martha Kearney
    Martha Kearney is a British journalist and broadcaster best known as a prominent presenter on BBC radio and television, including flagship programmes such as Woman’s Hour and The World at One.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af025fef088190b42515d0a854a1ae completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6509a86a081908435094d0e80e9f4 completed March 15, 2026, 6:24 a.m.
NEDg Description generation batch_69b65471a96c81908003c6acd8969e6d completed March 15, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69b6552508cc81909ed1d5afb300fcb2 completed March 15, 2026, 6:43 a.m.
Created at: March 9, 2026, 3:43 p.m.